Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm

This paper proposes the application of a metaheuristic algorithm inspired by the social behavior of chimps in nature, called Chimp Optimization Algorithm (ChOA), for the maximum power point tracking of solar photovoltaic (PV) strings. In this algorithm, the chimps hunting process is mathematically a...

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Main Authors: Timmidi Nagadurga, Pasumarthi Venkata Ramana Lakshmi Narasimham, V. S. Vakula, Ramesh Devarapalli, Fausto Pedro García Márquez
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/14/4086
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author Timmidi Nagadurga
Pasumarthi Venkata Ramana Lakshmi Narasimham
V. S. Vakula
Ramesh Devarapalli
Fausto Pedro García Márquez
author_facet Timmidi Nagadurga
Pasumarthi Venkata Ramana Lakshmi Narasimham
V. S. Vakula
Ramesh Devarapalli
Fausto Pedro García Márquez
author_sort Timmidi Nagadurga
collection DOAJ
description This paper proposes the application of a metaheuristic algorithm inspired by the social behavior of chimps in nature, called Chimp Optimization Algorithm (ChOA), for the maximum power point tracking of solar photovoltaic (PV) strings. In this algorithm, the chimps hunting process is mathematically articulated, and new mechanisms are designed to perform the exploration and exploitation. To evaluate the ChOA, it is applied to some fixed dimension benchmark functions and engineering problem application of tracking maximum power from solar PV systems under partial shading conditions. Partial shading condition is a common problem that appears in the solar PV modules installed in domestic areas. This shading alters the power developed by the solar PV panel, and exhibits multiple peaks on the power variation with voltage (P-V) characteristic curve. The dynamics of the solar PV system have been considered, and the mathematical model of a single objective function has been framed for tuning the optimal control parameter with the suggested algorithm. Implementing various practical shading patterns of solar PV systems with the ChOA algorithm has shown improved solar power point tracking performance compared to other algorithms in the literature.
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spelling doaj.art-35eead032bda449587ec4058164f7e962023-11-22T03:39:49ZengMDPI AGEnergies1996-10732021-07-011414408610.3390/en14144086Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization AlgorithmTimmidi Nagadurga0Pasumarthi Venkata Ramana Lakshmi Narasimham1V. S. Vakula2Ramesh Devarapalli3Fausto Pedro García Márquez4Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram 521230, IndiaDepartment of Electrical and Electronics Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Kanuru 520007, IndiaDepartment of Electrical and Electronics Engineering, JNTUK-University College of Engineering, Vizianagaram 535003, IndiaDepartment of Electrical Engineering, Birsa Institute of Technology Sindri, Dhanbad 828123, IndiaIngenium Research Group, Universidad Castilla-La Mancha, 13071 Ciudad Real, SpainThis paper proposes the application of a metaheuristic algorithm inspired by the social behavior of chimps in nature, called Chimp Optimization Algorithm (ChOA), for the maximum power point tracking of solar photovoltaic (PV) strings. In this algorithm, the chimps hunting process is mathematically articulated, and new mechanisms are designed to perform the exploration and exploitation. To evaluate the ChOA, it is applied to some fixed dimension benchmark functions and engineering problem application of tracking maximum power from solar PV systems under partial shading conditions. Partial shading condition is a common problem that appears in the solar PV modules installed in domestic areas. This shading alters the power developed by the solar PV panel, and exhibits multiple peaks on the power variation with voltage (P-V) characteristic curve. The dynamics of the solar PV system have been considered, and the mathematical model of a single objective function has been framed for tuning the optimal control parameter with the suggested algorithm. Implementing various practical shading patterns of solar PV systems with the ChOA algorithm has shown improved solar power point tracking performance compared to other algorithms in the literature.https://www.mdpi.com/1996-1073/14/14/4086solar photovoltaic systemmaximum power point trackingchimp optimization algorithmgrey wolf optimizationavailabilityreliability
spellingShingle Timmidi Nagadurga
Pasumarthi Venkata Ramana Lakshmi Narasimham
V. S. Vakula
Ramesh Devarapalli
Fausto Pedro García Márquez
Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm
Energies
solar photovoltaic system
maximum power point tracking
chimp optimization algorithm
grey wolf optimization
availability
reliability
title Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm
title_full Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm
title_fullStr Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm
title_full_unstemmed Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm
title_short Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm
title_sort enhancing global maximum power point of solar photovoltaic strings under partial shading conditions using chimp optimization algorithm
topic solar photovoltaic system
maximum power point tracking
chimp optimization algorithm
grey wolf optimization
availability
reliability
url https://www.mdpi.com/1996-1073/14/14/4086
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